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Zillow Explorer

jupri/zillow-scraper

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💫 Scrape Zillow.com Homes

You can access the Zillow Explorer programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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134          "prompt": {
135            "title": "✨ Prompt",
136            "type": "string",
137            "description": "💡 <b>Acceptable Values :</b><li><code>search-url</code> <i>(example: https://www.zillow.com/new-york-ny/?searchQueryState=PARAMETERS [please copy and paste complete URL]</i></li><li>Semantic search will autofill appropriate parameters.</li><br><b>examples :</b><br><code>\"Homes with +2 bedrooms and 1-3 bathrooms under $500K in Alaska\"</code>"
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139          "location": {
140            "title": "🧭 Location",
141            "type": "array",
142            "description": "💡 <b>Acceptable Values :</b><li><code>LOCATION</code> <i>(multi-region limited to max 5 locations allowed by Zillow)</i></li></b><li><code>ADDRESS</code> more than 5 address is allowed.</li><li><code>@ZPID(s) list</code> <i>(example: @123456789)</i></li>",
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147          "limit": {
148            "title": "Limit",
149            "type": "integer",
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151          },
152          "sort": {
153            "title": "Sorting",
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176            ],
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178            "description": "💡 Sorting order"
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180          "search_type": {
181            "title": "Search Type",
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184              "rent",
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186            ],
187            "type": "string",
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189          },
190          "category": {
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196            ],
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201          "keywords": {
202            "title": "Keywords",
203            "type": "string",
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205          },
206          "min_days": {
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208            "type": "integer",
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210          },
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217            "title": "Description",
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222            "title": "Home Insights",
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227            "title": "Features & Facts",
228            "type": "boolean",
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233            "type": "boolean",
234            "description": ""
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237            "title": "Attribution Info",
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243            "type": "boolean",
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261          "includes:localProtections": {
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283            "type": "string",
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309          "types:singleFamily": {
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314          "types:apartment": {
315            "title": "Apartments",
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317            "description": ""
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319          "types:multiFamily": {
320            "title": "Multi-family",
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332            "description": ""
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334          "types:condo": {
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336            "type": "boolean",
337            "description": ""
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339          "types:manufactured": {
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342            "description": ""
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349          "max_built": {
350            "title": "",
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354          "status:fsba": {
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357            "description": ""
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359          "status:fsbo": {
360            "title": "Owner Posted",
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362            "description": ""
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364          "status:newConstruction": {
365            "title": "New Construction",
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369          "status:auction": {
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374          "status:foreclosure": {
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378          },
379          "status:foreclosed": {
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389          "status:comingSoon": {
390            "title": "Coming Soon",
391            "type": "boolean",
392            "description": ""
393          },
394          "status:acceptingBackupOffers": {
395            "title": "Accepting Backup Offers",
396            "type": "boolean",
397            "description": ""
398          },
399          "status:pending": {
400            "title": "Pending & Under Contract",
401            "type": "boolean",
402            "description": ""
403          },
404          "filters:openHouses": {
405            "title": "Open Houses",
406            "type": "boolean",
407            "description": ""
408          },
409          "filters:approvedVirtualTour": {
410            "title": "3D Tours",
411            "type": "boolean",
412            "description": ""
413          },
414          "status:no_seniorCommunity": {
415            "title": "Hide 55+ communities",
416            "type": "boolean",
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419          "min_beds": {
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443            "description": ""
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462          "filters:garage": {
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465            "description": ""
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467          "filters:basementFinish": {
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469            "type": "boolean",
470            "description": ""
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472          "filters:basementUnfinish": {
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477          "filters:basementPartial": {
478            "title": "Partial",
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480            "description": ""
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482          "filters:basement": {
483            "title": "All",
484            "type": "boolean",
485            "description": "may removed in the future"
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487          "min_area": {
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489            "type": "integer",
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492          "max_area": {
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524            "description": ""
525          },
526          "down_payment": {
527            "title": "Down Payment",
528            "type": "integer",
529            "description": "Monthly payment only"
530          },
531          "filters:priceReduction": {
532            "title": "Price Drop",
533            "type": "boolean",
534            "description": ""
535          },
536          "max_hoa": {
537            "title": "Max. HOA Fee",
538            "type": "integer",
539            "description": "Per Month"
540          },
541          "no_hoa": {
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543            "type": "boolean",
544            "description": "Overides max_hoa"
545          },
546          "show_no_hoa": {
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548            "type": "boolean",
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551          "filters:havePool": {
552            "title": "Have Pool",
553            "type": "boolean",
554            "description": ""
555          },
556          "filters:haveAirConditioning": {
557            "title": "Have A/C",
558            "type": "boolean",
559            "description": ""
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561          "filters:onWaterfront": {
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564            "description": ""
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566          "views:mountain": {
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568            "type": "boolean",
569            "description": ""
570          },
571          "views:city": {
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573            "type": "boolean",
574            "description": ""
575          },
576          "views:water": {
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578            "type": "boolean",
579            "description": ""
580          },
581          "views:park": {
582            "title": "Park",
583            "type": "boolean",
584            "description": ""
585          },
586          "rentalspace": {
587            "title": "Rental Space",
588            "enum": [
589              "place",
590              "room",
591              "all"
592            ],
593            "type": "string",
594            "description": ""
595          },
596          "rentaldate": {
597            "title": "Move-in Date",
598            "type": "string",
599            "description": "Available on or before this date (YYYY-MM-DD)"
600          },
601          "filters:cats": {
602            "title": "Allows Cats",
603            "type": "boolean",
604            "description": ""
605          },
606          "filters:smallDogs": {
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608            "type": "boolean",
609            "description": ""
610          },
611          "filters:largeDogs": {
612            "title": "Allows Big Dogs",
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614            "description": ""
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616          "filters:parkingAvailable": {
617            "title": "On-Site Parking",
618            "type": "boolean",
619            "description": ""
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621          "filters:laundryAvailable": {
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623            "type": "boolean",
624            "description": ""
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628            "type": "boolean",
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632            "title": "Appartment Community",
633            "type": "boolean",
634            "description": "Large properties that typically have extra amenities and at least 50 units"
635          },
636          "filters:areApplicationsAccepted": {
637            "title": "Accept Zillow Application",
638            "type": "boolean",
639            "description": ""
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641          "scanonly": {
642            "title": "Enable",
643            "type": "boolean",
644            "description": "💡 <b>Scan Only</b> function allow you to search up to 50_000 property, but only with basic info and no Additional Info (\"includes\" parameters will be ignored)"
645          },
646          "noboundary": {
647            "title": "Remove Boundary",
648            "type": "boolean",
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681                  "title": "Value"
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684            }
685          },
686          "dev_custom_cookies": {
687            "title": "🍰 HTTP COOKIES",
688            "type": "array",
689            "description": "💡 Additional HTTP Cookies",
690            "items": {
691              "type": "object",
692              "required": [
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694                "value"
695              ],
696              "properties": {
697                "key": {
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701                "value": {
702                  "type": "string",
703                  "title": "Value"
704                }
705              }
706            }
707          },
708          "dev_transform_fields": {
709            "title": "♻️ CUSTOM FIELD",
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711            "description": "💡 <b>Transform the resulting output. Select only needed fields.</b><br><br>For nested object use <b>DOT</b>. For example: <pre>address.streetAddress</pre><br>For nested array use <b>NUMBER</b> <i>(index of array element starting from index=0)</i>. For example: <pre>images.0.url</pre>",
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734          },
735          "dev_dataset_clear": {
736            "title": "Clear Storage",
737            "type": "boolean",
738            "description": "Clear Dataset before insert/update."
739          },
740          "dev_no_strip": {
741            "title": "Disable data cleansing",
742            "type": "boolean",
743            "description": "💡 Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
744          }
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767              "finishedAt": {
768                "type": "string",
769                "format": "date-time",
770                "example": "2025-01-08T00:00:00.000Z"
771              },
772              "status": {
773                "type": "string",
774                "example": "READY"
775              },
776              "meta": {
777                "type": "object",
778                "properties": {
779                  "origin": {
780                    "type": "string",
781                    "example": "API"
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807                  "computeUnits": {
808                    "type": "integer",
809                    "example": 0
810                  }
811                }
812              },
813              "options": {
814                "type": "object",
815                "properties": {
816                  "build": {
817                    "type": "string",
818                    "example": "latest"
819                  },
820                  "timeoutSecs": {
821                    "type": "integer",
822                    "example": 300
823                  },
824                  "memoryMbytes": {
825                    "type": "integer",
826                    "example": 1024
827                  },
828                  "diskMbytes": {
829                    "type": "integer",
830                    "example": 2048
831                  }
832                }
833              },
834              "buildId": {
835                "type": "string"
836              },
837              "defaultKeyValueStoreId": {
838                "type": "string"
839              },
840              "defaultDatasetId": {
841                "type": "string"
842              },
843              "defaultRequestQueueId": {
844                "type": "string"
845              },
846              "buildNumber": {
847                "type": "string",
848                "example": "1.0.0"
849              },
850              "containerUrl": {
851                "type": "string"
852              },
853              "usage": {
854                "type": "object",
855                "properties": {
856                  "ACTOR_COMPUTE_UNITS": {
857                    "type": "integer",
858                    "example": 0
859                  },
860                  "DATASET_READS": {
861                    "type": "integer",
862                    "example": 0
863                  },
864                  "DATASET_WRITES": {
865                    "type": "integer",
866                    "example": 0
867                  },
868                  "KEY_VALUE_STORE_READS": {
869                    "type": "integer",
870                    "example": 0
871                  },
872                  "KEY_VALUE_STORE_WRITES": {
873                    "type": "integer",
874                    "example": 1
875                  },
876                  "KEY_VALUE_STORE_LISTS": {
877                    "type": "integer",
878                    "example": 0
879                  },
880                  "REQUEST_QUEUE_READS": {
881                    "type": "integer",
882                    "example": 0
883                  },
884                  "REQUEST_QUEUE_WRITES": {
885                    "type": "integer",
886                    "example": 0
887                  },
888                  "DATA_TRANSFER_INTERNAL_GBYTES": {
889                    "type": "integer",
890                    "example": 0
891                  },
892                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
893                    "type": "integer",
894                    "example": 0
895                  },
896                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
897                    "type": "integer",
898                    "example": 0
899                  },
900                  "PROXY_SERPS": {
901                    "type": "integer",
902                    "example": 0
903                  }
904                }
905              },
906              "usageTotalUsd": {
907                "type": "number",
908                "example": 0.00005
909              },
910              "usageUsd": {
911                "type": "object",
912                "properties": {
913                  "ACTOR_COMPUTE_UNITS": {
914                    "type": "integer",
915                    "example": 0
916                  },
917                  "DATASET_READS": {
918                    "type": "integer",
919                    "example": 0
920                  },
921                  "DATASET_WRITES": {
922                    "type": "integer",
923                    "example": 0
924                  },
925                  "KEY_VALUE_STORE_READS": {
926                    "type": "integer",
927                    "example": 0
928                  },
929                  "KEY_VALUE_STORE_WRITES": {
930                    "type": "number",
931                    "example": 0.00005
932                  },
933                  "KEY_VALUE_STORE_LISTS": {
934                    "type": "integer",
935                    "example": 0
936                  },
937                  "REQUEST_QUEUE_READS": {
938                    "type": "integer",
939                    "example": 0
940                  },
941                  "REQUEST_QUEUE_WRITES": {
942                    "type": "integer",
943                    "example": 0
944                  },
945                  "DATA_TRANSFER_INTERNAL_GBYTES": {
946                    "type": "integer",
947                    "example": 0
948                  },
949                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
950                    "type": "integer",
951                    "example": 0
952                  },
953                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
954                    "type": "integer",
955                    "example": 0
956                  },
957                  "PROXY_SERPS": {
958                    "type": "integer",
959                    "example": 0
960                  }
961                }
962              }
963            }
964          }
965        }
966      }
967    }
968  }
969}

Zillow Property Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Zillow Explorer from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Zillow Explorer API in Python

Zillow Explorer API in JavaScript

Zillow Explorer API through CLI

Zillow Explorer API

Developer

cat

Actor Metrics

21 monthly users
9 bookmarks
99% runs succeeded
60 days response time
Created in Jul 2022
Modified 4 months ago

Categories

Real estate

Zillow Search Scraper (All-in-one) 🏡

scrapestorm/zillow-search-scraper-all-in-one

Gather property data from Zillow 🏡, including listings for sale (with filtering options for home type), sold & rentals, all through the Zillow API. No daily call limits 🚫. Scrape millions of listings & export scraped data, run the scraper via API 🔧, schedule tasks ⏰, or integrate with other tools

Storm_Scraper

Zillow Search Scraper (All-in-one) 🏡 - Pay Per Results

scrapestorm/zillow-search-scraper-all-in-one---pay-per-results

Storm_Scraper

Zillow Search Scraper

axlymxp/zillow-search-scraper

Zillow Search Scraper Scrapes Zillow property listings by location. Supports For Sale, For Rent, and Sold searches. Inputs: - query: Location ("New York, NY") - searchType: "For Sale", "For Rent", or "Sold" Outputs property data in JSON including price, address, beds/baths, status, and listing ID.

axly

Zillow ZIP Code Search Scraper

maxcopell/zillow-zip-search

Scraper to find all Zillow real estate properties for sale, for rent or recently sold from given ZIP code locations.

Maximillian Copelli

604

Best Zillow Search Results Scraper

adrian_horning/best-zillow-scraper

Scrape Zillow Listings fast! ✅ No need for residential IP ✅ Search just like you search on Zillow ✅ Returns all the fields Zillow returns

Adrian | The Web Scraping Guy

216

Zillow Scraper Search and Extract

getdataforme/zillow-scraper-search-and-extract

Powerful Zillow Scraper to extract property data and listings effortlessly? This scrapper allows you to search Zillow properties based on custom search terms and scrape unlimited data without restrictions. It lists all properties on Sale and on Rent with location and amenities details.

GetDataForMe

Zillow Detail Scraper

maxcopell/zillow-detail-scraper

Get details of Zillow properties from URLs. This Actor can be easily integrated with other Zillow Scrapers.

Maximillian Copelli

1.1k

Zillow Search Results and Detail Scraper (All-in-one)

memo23/zillow-cheerio-scraper

Unleash the full power of Zillow data - no limits, no restrictions. Comprehensive scraping for any search URL, delivering complete property insights at scale.

Muhamed Didovic

Zillow Coordinate Scraper

axlymxp/zillow-coordinate-scraper

Scrape location coordinates and property data from Zillow's search API. Search locations by query (city names, addresses) to get geographic coordinates and property details. Features: - Result limits - Spell checking - JSON output - Coordinates

axly

Facebook Email Scraper (⭐ Fast & Affordable) 📧

scrapestorm/facebook-email-scraper-fast-affordable

This Facebook Email Scraper extracts email addresses from Facebook based on your selected keywords and email domains. You can also set the max number of items for results 🔥. Perfect for creator outreach 🤳 and collaborations 💥, it delivers fast and accurate results ⚡.

Storm_Scraper